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- Volume 19, Issue 13, 2023
Current Medical Imaging - Volume 19, Issue 13, 2023
Volume 19, Issue 13, 2023
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Cancer Detection Based on Medical Image Analysis with the Help of Machine Learning and Deep Learning Techniques: A Systematic Literature Review
Authors: Tamanna Sood, Rajesh Bhatia and Padmavati KhandnorBackground: Cancer is a deadly disease. It is crucial to diagnose cancer in its early stages. This can be done with medical imaging. Medical imaging helps us scan and view internal organs. The analysis of these images is a very important task in the identification and classification of cancer. Over the past years, the occurrence of cancer has been increasing, so has been the load on the medical fraternity. Fortunately, with the grow Read More
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Reference Range of CT Value in NC-CBBCT Based on Female Breast Structure
Authors: Wei Wei, Wuning Zhong, Wei Kang, Xin Zhao, XianLin Yi and DanKe SuBackground: As a new high-resolution three-dimensional CT imaging technology, the essential reference range of CT values in Cone-beam breast computed tomography (CBBCT) has not been established to date. Purpose: To determine the reference range of computed tomography (CT) values in CBBCT for clinical breast examination. Materials and Methods: In total, 913 cases (1167 lateral) were subject to CBBCT. CT values of t Read More
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Predicting Severe COVID-19 Infection on Initial Diagnosis: Comparison and Validation of CT Imaging Triage Tools
Background: Developing a reliable predictive tool of disease severity in COVID-19 infection is important to help triage patients and ensure the appropriate utilization of health-care resources. Objective: To develop, validate, and compare three CT scoring systems (CTSS) to predict severe disease on initial diagnosis of COVID-19 infection. Methods: One hundred and twenty and 80 symptomatic adults with confirmed COVID- Read More
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Deep Learning Based on Enhanced MRI T1 Imaging to Differentiate Small-cell and Non-small-cell Primary Lung Cancers in Patients with Brain Metastases
Authors: Lianyu Sui, Shilong Chang, LinYan Xue, Jianing Wang, Yu Zhang, Kun Yang, Bu-Lang Gao and Xiaoping YinObjectives: To differentiate the primary small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) for patients with brain metastases (BMs) based on a deep learning (DL) model using contrast-enhanced magnetic resonance imaging (MRI) T1 weighted (T1CE) images. Methods: Out of 711 patients with BMs of lung cancer origin (SCLC 232, NSCLC 479), the MRI datasets of 192 patients (lesions’ widths and heights > 30 Read More
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An Innovative Metal Artifact Reduction Algorithm based on Res-U-Net GANs
Authors: Ziheng Zhang, Minghan Yang, Lei Xu, Jiazhao Yang, Hu Guo and Jianye WangBackground: During X-ray computed tomography (CT) scans, the metal implants in the patient's body will produce severe artifacts, which reduce the image quality and interferes with the doctor's judgment. Therefore, it is necessary to develop an algorithm for removing metal artifacts in CT images and reconstructing high-quality images. Objective: In this article, we proposed a generative adversarial networks (GANs)-based Read More
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Hypoperfusion Intensity Ratio Correlates with Angiographic Collaterals and Infarct Growth in Acute Stroke with Thrombectomy
Authors: Zhongping Ai, Liang Jiang, Boxiang Zhao, Haobo Su, Xindao Yin and Yu-Chen ChenBackground: The assessment of collaterals before endovascular thrombectomy (EVT) therapy play a pivotal role in clinical decision-making for acute stroke patients. Objective: To investigate the correlation between hypoperfusion intensity ratio (HIR), collaterals on digital subtraction angiography (DSA), and infarct growth in acute stroke patients who underwent EVT therapy. Methods: Patients with acute ischemic strok Read More
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Automatic Detection of Benign/Malignant Tumor in Breast Ultrasound Images using Optimal Features
Authors: Yanyan Yang, Qiaojian Liu, Ting Dai and Haijun ZhangBackground: Breast cancer (BC) is one of the most severe diseases in women. Therefore, a premature diagnosis is necessary for timely detection and treatment execution. Clinical-level diagnosis of BC is normally performed with imaging techniques, and Ultrasound-Imaging (UI) is one of the noninvasive imaging techniques frequently executed to diagnose BC. Aims: This research aims to develop an efficient deep-learning fra Read More
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Study on the Specific Expression of Infrared Radiation Temperature on the Body Surface of Acupoint in Rats with Chronic Myocardial Ischemic Injury
Authors: Jian Xiong, Xiang Li, Hongjuan Fu, Xinye Luo, Xiao Li, Yanrong Ren, Xueying Liu, Qianhua Zheng, Wenchuan Qi and Fanrong LiangBackground: Infrared thermal imaging technology was used to observe the changes in infrared radiation temperature at acupoints in rats caused by chronic myocardial ischemia injury. Objective: This study aims to compare the difference of body surface infrared radiation temperature information of three groups of acupoints: bilateral Neiguan (PC6), bilateral Yanglingquan (GB33), and bilateral Sham Acupoints (SA) in th Read More
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Preganglionic Injury of C8 Nerve Root Secondary to Shoulder Disloca tion: Diagnosis based on MRI Findings
Introduction: Traumatic spinal root injury caused by shoulder dislocation may involve the brachial plexus or, in some cases, a single nerve. The degree of severity of the injury depends on many patient-specific factors as well as the mechanism of injury. It is essential to suspect this type of lesion by means of a thorough physical examination in order to have better patient outcomes. Case Presentation: We presented the sub Read More
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Aberrant Origin of the Distal Anterior Cerebral Artery from the Middle Cerebral Artery Related to Obstruction of Bilateral Proximal Anterior Cerebral Arteries: A Case Report
Authors: Hyo Sung Kwak, Gyung Ho Chung and Seungbae HwangBackground: Aberrant origin of the distal anterior cerebral artery (ACA) arising from the middle cerebral artery (MCA) is extremely rare. Case Presentation: A 74-year-old woman with a sudden onset of left-sided weakness was admitted to the emergency department. Angiography revealed an unusual course of the distal ACA originating from the MCA with bilateral obstruction of the proximal segment of the ACA and simultan Read More
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Multisystem Sarcoidosis Combined with Sjögren's Syndrome: A Case Report and Literature Review
Authors: Xiaoran Li, Jing Wu, Guangan Ruan and Yu-Chen ChenBackground: Sarcoidosis is a systemic non-caseous necrotizing granulomatous disease with unknown etiology. It can involve multiple organs throughout the body, most commonly affecting lungs and/or bilateral hilar lymph nodes. Sjögren's syndrome is a multi-system autoimmune disease. The main clinical symptoms include dry mouth and dry eyes. The combination of the two diseases with the involvement of multiple syste Read More
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The Disruption of Retroperitoneal Interdigitating Dendritic Cell Sarcoma with Neurogenic Neoplasm as a Result of Immunohistochemical Markers and Radiological Features
Authors: Umur Anil Pehlivan, Kivilcim Eren Erdogan, Huseyin Tugsan Balli and Seyda ErdoganIntroduction: Retroperitoneal localization is an extremely rare presentation of interdigitating dendritic cell sarcoma (IDCS), the primary neoplasm of the antigen-presenting interdigitating dendritic cells. Case Presentation: We report an incidentally found isolated retroperitoneal IDCS in a 59-year-old female patient with no prior symptoms. The patient was initially misdiagnosed since the tissue samples obtained by tru-cut biopsies Read More
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Volumes & issues
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)
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